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pythonprogramming.net | ||
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colinpaice.blog
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| | | | | As part of writing a GTF trace formatter in Python I needed to covert a STCK value to a printable value. I could do it in C - but I did not find a Python equivalent. from datetime import datetime# Pass in a 8 bytes valuedef stck(value): value = int.from_bytes(value) t = value/4096 # remove... | |
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fastml.com
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| | | | | We have reached a time when AI is revolutionizing programming. Coding assistance from bots can provide a significant productivity boost to ... | |
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blog.vfiles.no
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| | | | | This tutorial will be dedicated to understanding how to use the linear regression algorithm with Wikidata to make predictions. For a detailed explanation of how this algorithm works please read the Wikipedia article: linear regression. In this walkthrough Python is used. Importing Modules/Packages Before we start coding, import/install all of the following packages: NumPy, Pandas, and Sklearn. # -*- coding: utf-8 -*- import json import numpy as np import pandas as pd import sklearn from collections import defaultdict from sklearn import linear_model Loading in Our Data Now it's time for some data collection from Wikidata. For this example we are using the yearly (average) population stacked by country in a query (linked further down). This gives us a lot of ... | |
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vxlabs.com
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| | | I have recently become fascinated with (Variational) Autoencoders and with PyTorch. Kevin Frans has a beautiful blog post online explaining variational autoencoders, with examples in TensorFlow and, importantly, with cat pictures. Jaan Altosaar's blog post takes an even deeper look at VAEs from both the deep learning perspective and the perspective of graphical models. Both of these posts, as well as Diederik Kingma's original 2014 paper Auto-Encoding Variational Bayes, are more than worth your time. | ||
